CVE-2022-23587 : Vulnerability Insights and Analysis

Tensorflow is an open-source machine learning framework. This CVE involves an integer overflow vulnerability in the Grappler component of TensorFlow during cost estimation for crop and resize operations, affecting versions >= 2.5.3 and < 2.7.1.

Understanding CVE-2022-23587

This vulnerability allows a malicious actor to trigger undefined behavior due to user-controlled cropping parameters.

What is CVE-2022-23587?

The vulnerability arises due to an integer overflow in TensorFlow's cost estimation for crop and resize operations, impacting versions >= 2.5.3 and < 2.7.1.

The Impact of CVE-2022-23587

With a CVSS base score of 8.8, this CVE poses a high severity risk with impacts on confidentiality, integrity, and availability. The attack complexity is low with network access required.

Technical Details of CVE-2022-23587

The vulnerability stems from the Grappler component's flawed integer handling during cost estimation for crop and resize operations.

Vulnerability Description

The integer overflow vulnerability in TensorFlow allows for manipulation of cropping parameters, leading to undefined behavior.

Affected Systems and Versions

TensorFlow versions >= 2.5.3 and < 2.7.1 are affected by this vulnerability.

Exploitation Mechanism

Malicious actors can exploit this flaw by providing crafted cropping parameters to trigger the integer overflow.

Mitigation and Prevention

To address CVE-2022-23587, immediate steps and long-term security practices are crucial.

Immediate Steps to Take

Users are advised to update TensorFlow to version 2.8.0 or apply patches to TensorFlow 2.7.1, 2.6.3, and 2.5.3.

Long-Term Security Practices

Implement secure coding practices, regularly update software, and monitor for security advisories.

Patching and Updates

Regularly check for security updates from TensorFlow and apply them promptly to mitigate the risk of exploitation.